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Piku is a 2015 Indian Hindi-language comedy drama film directed by Shoojit Sircar, written by Juhi Chaturvedi, and produced by N. P. Singh, Ronnie Lahiri and Sneha Rajani. The film stars Deepika Padukone in lead role as Piku Banerjee Amitabh Bachchan,and Irrfan Khan, with Moushumi Chatterjee, Jisshu Sengupta and Raghubir Yadav in supporting roles. The…
The analysis highlights Plot, Reception and Overview as prominent areas in the source structure around Piku.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Piku shows recurring relationship patterns in the source. For example, Piku → Akshay Oberoi, Amitabh Bachchan, Aniket, As, Bengali, Bhashkor, Bhashkor Banerjee, Bhashkor's, Chhobi Maashi, Chhobi Mashi, Chhobi Mashi's, Chittaranjan Park, Deepika Padukone, Delhi, Dr, Eisha, Elsewhere, He, His, Ignoring Piku's Another extracted example is Piku → Ahmedabad, August, Bachchan, Banaras, Bhuj, Bishop Lefroy Road, December, Delhi, During, Gujarat, Gurgaon, Howrah Bridge, Indian, Journey Song, Khan, Kolkata, Mumbai, November, October, Padukone. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
film bhashkor rana padukone bachchan also khan kolkata india gave deepika crore sircar constipation irrfan bhashkor's stars million 2015 delhi
TTTA extracted 186 structured relationships around Piku. Examples in this analysis include Piku → Box office → ₹141 crore and Piku → Budget → ₹42 crore. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Piku | Box office | ₹141 crore | 1.00 | infobox |
| Piku | Budget | ₹42 crore | 1.00 | infobox |
| Piku | Cinematography | Kamaljeet Negi | 1.00 | infobox |
| Piku | Country | India | 1.00 | infobox |
| Piku | Directed by | Shoojit Sircar | 1.00 | infobox |
| Piku | Distributed by | Yash Raj Films | 1.00 | infobox |
| Piku | Edited by | Chandrashekhar Prajapati | 1.00 | infobox |
| Piku | Language | Hindi | 1.00 | infobox |
| Piku | Music by | Anupam Roy | 1.00 | infobox |
| Piku | Produced by | N. P. Singh | 1.00 | infobox |
| Piku | Produced by | Ronnie Lahiri | 1.00 | infobox |
| Piku | Produced by | Sneha Rajani | 1.00 | infobox |
| Piku | Production companies | MSM Motion Pictures | 1.00 | infobox |
| Piku | Production companies | Saraswati Entertainment | 1.00 | infobox |
| Piku | Production companies | Rising Sun Films | 1.00 | infobox |
| Piku | Release date | 8 May 2015 (2015-05-08) (India) | 1.00 | infobox |
| Piku | Running time | 122 minutes | 1.00 | infobox |
| Piku | Starring | Deepika Padukone | 1.00 | infobox |
| Piku | Starring | Amitabh Bachchan | 1.00 | infobox |
| Piku | Starring | Irrfan Khan | 1.00 | infobox |
| Piku | Starring | Jishu Sengupta | 1.00 | infobox |
| Piku | Written by | Juhi Chaturvedi | 1.00 | infobox |
| Piku | is a | 2015 Indian Hindi-language comedy drama film directed by Shoojit Sircar | 0.90 | text |
| Piku | is a | wonderful family film | 0.90 | text |
| Piku | is a | progressive piece of cinema that brings the parent back into the picture | 0.90 | text |
| Piku | is a | delightful film about very little and yet it says so much | 0.90 | text |
The concept neighborhoods around Piku bring nearby vocabulary together. In this analysis, examples include Bhashkor, Rana and Gave. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Piku, one of the stronger structural bridges in this analysis connects Piku with Plot. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Piku to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Plot, Reception & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Piku · EN edition · Analysis: TopicsToTalkAbout